University of Kassel Knowledge & Data Engineering Group

Fachgebiet Wissensverarbeitung (KDE), EECS, Universität Kassel

Das Fachgebiet Wissensverarbeitung im FB 16 – Elektrotechnik/Informatik (EECS) wurde im Zusammenhang mit der Einführung des Studiengangs Informatik in der Forschungs- und Lehreinheit Informatik neu gegründet, und startete zum 1. April 2004 mit der Einrichtung einer Stiftungsprofessur der Gemeinnützigen Hertie-Stiftung. Das Fachgebiet Wissensverarbeitung (Knowledge & Data Engineering) beschäftigt sich mit der organisatorischen und technischen Unterstützung von Wissensprozessen im WWW. Wir arbeiten an dem allgegenwärtigen Web (Ubiquitous Web), in dem das benutzergenerierte Wissen des Web 2.0 und Beobachtungen der räumlich-zeitlichen und sozialen Umwelt der Anwender integriert, mit Methoden der Wissensentdeckung angereichert, und im Semantic Web formalisiert werden, um Anwendungen anbieten zu können, die den Mensch in all seinen Lebensbereichen umfassend unterstützen. Das Fachgebiet Wissensverarbeitung ist Mitglied im Wissenschaftlichen Zentrum für Informationstechnik-Gestaltung (ITeG) der Universität Kassel, im Wissenschaftlichen Zentrum INCHER der Universität Kassel und im Forschungszentrum L3S

Testen Sie unser Social-Bookmark-System BibSonomy sowie unsere Namens-Suchmaschine Nameling!

In Kooperation mit der Universitätsbibliothek entwickeln wir das Akademische Publikationsmanagementsystem PUMA. PUMA wird von mehreren Universitäten eingesetzt. Die Kasseler Installation erreichen Sie unter puma.uni-kassel.de.

Unsere neusten Publikationen

  • Hanika, T., Marx, M., Stumme, G.: Discovering Implicational Knowledge in Wikidata, http://arxiv.org/abs/1902.00916, (2019).
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  • Hanika, T., Kibanov, M., Kropf, J., Laser, S.: Ich denke, es ist wichtig zu verstehen, warum die Netzwerkanalyse jetzt populär und besonders interessant für die Forschung geworden ist. In: Kropf, J. and Laser, S. (eds.) Digitale Bewertungspraktiken. p. 165--188. Springer (2019).
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  • Doerfel, S., Hanika, T., Stumme, G.: Clones in Graphs. In: Ceci, M., Japkowicz, N., Liu, J., Papadopoulos, G.A., and Ras, Z.W. (eds.) ISMIS. pp. 56-66. Springer (2018).
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  • Hanika, T., Schneider, F.M., Stumme, G.: Intrinsic Dimension of Geometric Data Sets, http://arxiv.org/abs/1801.07985, (2018).
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  • Schmidt, A., Stumme, G.: Prominence and Dominance in Networks. In: Faron Zucker, C., Ghidini, C., Napoli, A., and Yannick, T. (eds.) Proceedings of the 21th International Conference on Knowledge Engineering and Knowledge Management (EKAW). pp. 370-385. Springer (2018).
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  • Felde, M., Hanika, T.: Formal Context Generation using Dirichlet Distributions. CoRR. abs/1809.11160, (2018).
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  • Doerfel, S., Hanika, T., Stumme, G.: Clones in Social Networks. CoRR. abs/1802.07849, (2018).
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  • Schäfermeier, B., Hanika, T., Stumme, G.: Distances for WiFi Based Topological Indoor Mapping, http://arxiv.org/abs/1809.07405, (2018).
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  • Hanika, T., Koyda, M., Stumme, G.: Relevant Attributes in Formal Contexts. CoRR. abs/1812.08868, (2018).
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  • Navarro Bullock, B., Hotho, A., Stumme, G.: Accessing Information with Tags: Search and Ranking. In: Brusilovsky, P. and He, D. (eds.) Social Information Access: Systems and Technologies. p. 310--343. Springer International Publishing, Cham (2018).
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  • Atzmueller, M., Thiele, L., Stumme, G., Kauffeld, S.: Analyzing Group Interaction on Networks of Face-to-Face Proximity using Wearable Sensors. Proc. IEEE International Conference on Future IoT Technologies. IEEE Press, Boston, MA, USA (2018).
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  • Thiele, L., Atzmueller, M., Stumme, G., Kauffeld, S.: Frequently and/or Durable? The Predictive Impact of Initial Face-to-Face Contacts on the Formation and Evolution of Developmental Peer Network Relationships. Psychology. (2018).
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  • Hanika, T., Schneider, F.M., Stumme, G.: Intrinsic dimension of concept lattices. CoRR. abs/1801.07985, (2018).
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  • Kibanov, M., Becker, M., Müller, J., Atzmueller, M., Hotho, A., Stumme, G.: Adaptive kNN Using Expected Accuracy for Classification of Geo-Spatial Data. Proc. 33rd ACM Symposium On Applied Computing. ACM Press, New York, NY, USA (2018).
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  • Gautama, S., Atzmueller, M., Kostakos, V., Gillis, D., Hosio, S.: Observing Human Activity Through Sensing. In: Loreto, V., Haklay, M., Hotho, A., Servedio, V.D.P., Stumme, G., Tria, F., and Theunis, J. (eds.) Participatory Sensing, Opinions and Collective Awareness. Springer Verlag, Heidelberg, Germany (2017).
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  • Atzmueller, M., Schmidt, A., Kloepper, B., Arnu, D.: HypGraphs: An Approach for Analysis and Assessment of Graph-Based and Sequential Hypotheses. New Frontiers in Mining Complex Patterns. Postproceedings NFMCP 2016. Springer Verlag, Berlin/Heidelberg, Germany (2017).
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  • Atzmueller, M., Becker, M., Molino, A., Mueller, J., Peters, J., Sirbu, A.: Applications for Environmental Sensing in EveryAware. In: Loreto, V., Haklay, M., Hotho, A., Servedio, V.D.P., Stumme, G., Tria, F., and Theunis, J. (eds.) Participatory Sensing, Opinions and Collective Awareness. Springer Verlag, Heidelberg, Germany (2017).
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  • Atzmueller, M., Becker, M., Mueller, J.: Collective Sensing Platforms. In: Loreto, V., Haklay, M., Hotho, A., Servedio, V.D.P., Stumme, G., Tria, F., and Theunis, J. (eds.) Participatory Sensing, Opinions and Collective Awareness. Springer Verlag, Heidelberg, Germany (2017).
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  • Mueller, J., Stumme, G.: Predicting Rising Follower Counts on Twitter Using Profile Information. 9th International ACM Web Science Conference 2017 (WebSci 2017), Troy, NY, USA, June 26-28, 2017. Accepted for Publication. ACM, New York, NY, USA (2017).
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  • Atzmueller, M., Thiele, L., Stumme, G., Kauffeld, S.: Contact Patterns, Group Interaction and Dynamics on Socio-Behavioral Multiplex Networks. Proc. Annual Machine Learning Conference of the Benelux (Benelearn 2017). Eindhoven University of Technology, Eindhoven, The Netherlands (2017).
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  • Kibanov, M., Stumme, G., Amin, I., Lee, J.G.: Mining social media to inform peatland fire and haze disaster management. Social Network Analysis and Mining. 7, 30 (2017).
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  • Folmer, J., Kirchen, I., Trunzer, E., Vogel-Heuser, B., Pötter, T., Graube, M., Heinze, S., Urbas, L., Atzmueller, M., Arnu, D.: Challenges for Big and Smart Data in Process Industries. atp edition. 01-02, (2017).
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  • Atzmueller, M., Sternberg, E.: Mixed-Initiative Feature Engineering Using Knowledge Graphs. Proc. 9th International Conference on Knowledge Capture (K-CAP). ACM Press, New York, NY, USA (2017).
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  • Atzmueller, M., Hayat, N., Schmidt, A., Klöpper, B.: Explanation-Aware Feature Selection using Symbolic Time Series Abstraction: Approaches and Experiences in a Petro-Chemical Production Context. Proc. IEEE International Conference on Industrial Informatics (INDIN). IEEE Press, Boston, MA, USA (2017).
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  • Atzmueller, M.: Onto Explicative Data Mining: Exploratory, Interpretable and Explainable Analysis. Proc. Dutch-Belgian Database Day. TU Eindhoven, Netherlands (2017).
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  • Kanawati, R., Atzmueller, M.: Mining Attributed Networks, https://www.kde.cs.uni-kassel.de/atzmueller/paper/atzmueller-dsaa17-abstract.pdf, (2017).
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  • Thiele, L., Sauer, N.C., Atzmueller, M., Kauffeld, S.: The Co-Evolution of Career Aspirations and Peer Relationships in Psychology Bachelor Students: A Longitudinal Social Network Study. Journal of Vocational Behavior. (2017).
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  • Knoell, D., Atzmueller, M., Rieder, C., Scherer, K.P.: A Scalable Framework for Data-Driven Ontology Evaluation. Proc. GWEM 2017, co-located with 9th Conference Professional Knowledge Management (WM 2017). KIT, Karlsruhe, Germany (2017).
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  • Atzmueller, M.: Community Detection and Analysis on Attributed Social Networks. Encyclopedia of Social Network Analysis and Mining. Springer, Heidelberg, Germany (2017).
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  • Atzmueller, M., Arnu, D., Schmidt, A.: Anomaly Detection and Structural Analysis in Industrial Production Environments. Proc. International Data Science Conference (IDSC 2017). , Salzburg, Austria (2017).
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  • Atzmueller, M.: Descriptive Community Detection. In: Missaoui, R., Obiedkov, S., and Kuznetsov, S. (eds.) Formal Concept Analysis in Social Network Analysis. Springer Verlag, Berlin/Heidelberg, Germany (2017).
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  • Atzmueller, M.: Exceptional Model Mining in Ubiquitous and Social Environments. Proc. Annual Machine Learning Conference of the Benelux (Benelearn 2017). Eindhoven University of Technology, Eindhoven, The Netherlands (2017).
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  • Atzmueller, M., Arnu, D., Schmidt, A.: Anomaly Analytics and Structural Assessment in Process Industries. Proc. Annual Machine Learning Conference of the Benelux (Benelearn 2017). Eindhoven University of Technology, Eindhoven, The Netherlands (2017).
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  • Atzmueller, M., Mollenhauer, D., Schmidt, A.: Big Data Analytics Using Local Exceptionality Detection. Enterprise Big Data Engineering, Analytics, and Management. IGI Global, Hershey, PA, USA (2016).
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  • Schmidt, A., Atzmueller, M., Hollender, M.: Data Preparation for Big Data Analytics: Methods & Experiences. Enterprise Big Data Engineering, Analytics, and Management. IGI Global, Hershey, PA, USA (2016).
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  • Atzmueller, M.: Detecting Community Patterns Capturing Exceptional Link Trails. Proc. IEEE/ACM ASONAM. IEEE Press, Boston, MA, USA (2016).
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  • Atzmueller, M., Chin, A., Janssen, F., Schweizer, I., Trattner, C. eds: Big Data Analytics in the Social and Ubiquitous Context. Springer Verlag, Heidelberg, Germany (2016).
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  • Atzmueller, M., Kloepper, B., Mawla, H.A., Jäschke, B., Hollender, M., Graube, M., Arnu, D., Schmidt, A., Heinze, S., Schorer, L., Kroll, A., Stumme, G., Urbas, L.: Big Data Analytics for Proactive Industrial Decision Support: Approaches & First Experiences in the Context of the FEE Project. atp edition. 58, (2016).
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  • Atzmueller, M., Thiele, L., Stumme, G., Kauffeld, S.: Analyzing Group Interaction and Dynamics on Socio-Behavioral Networks of Face-to-Face Proximity. Proc. ACM Conference on Pervasive and Ubiquitous Computing Adjunct Publication. ACM Press, New York, NY, USA (2016).
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  • Atzmueller, M., Ernst, A., Krebs, F., Scholz, C., Stumme, G.: Formation and Temporal Evolution of Social Groups During Coffee Breaks. Postproceedings of the International Workshops MUSE & SenseML 2014, Nancy, France, and MSM 2014, Seoul, Korea. Springer Verlag, Heidelberg, Germany (2016).
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  • Mueller, J., Stumme, G.: Gender Inference using Statistical Name Characteristics in Twitter. 5th ASE International Conference on Social Informatics (SocInfo 2016), Union, NJ, USA, August 15-17, 2016. Proceedings. p. 47:1--47:8. ACM, New York, NY, USA (2016).
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  • Atzmueller, M., Hanika, T., Stumme, G., Schaller, R., Ludwig, B.: Social Event Network Analysis: Structure, Preferences, and Reality. Proc. IEEE/ACM ASONAM. IEEE Press, Boston, MA, USA (2016).
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  • Zoller, D., Doerfel, S., Jäschke, R., Stumme, G., Hotho, A.: Posted, visited, exported: Altmetrics in the social tagging system BibSonomy. Journal of Informetrics. 10, 732 - 749 (2016).
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  • Kibanov, M., Atzmueller, M., Illig, J., Scholz, C., Barrat, A., Cattuto, C., Stumme, G.: Is Web Content a Good Proxy for Real-Life Interaction? A Case Study Considering Online and Offline Interactions of Computer Scientists. Proceedings of the 2015 ACM/IEEE International Conference on Advances in Social Networks Analysis and Mining, ASONAM 2015, Paris, France, August 25-28, 2015 (2015).
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  • Kibanov, M., Atzmueller, M., Illig, J., Scholz, C., Barrat, A., Cattuto, C., Stumme, G.: Is Web Content a Good Proxy for Real-Life Interaction? A Case Study Considering Online and Offline Interactions of Computer Scientists (Poster), http://www.gesis.org/css-wintersymposium/program/poster-sessions-presentations/, (2015).
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  • Schmidt, A., Atzmueller, M., Stumme, G.: The FEE Project: Introduction and First Insights. Proc. UIS Workshop (2015).
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  • Doerfel, S., Jäschke, R., Stumme, G.: The Role of Cores in Recommender Benchmarking for Social Bookmarking Systems. Transactions on Intelligent Systems and Technology. (2015).
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  • Atzmueller, M., Kibanov, M., Scholz, C., Mueller, J., Stumme, G.: Conferator – A Ubiquitous System for Enhancing Social Networking at Conferences. Proc. UIS Workshop (2015).
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  • Kibanov, M.: Mining Groups Stability in Ubiquitous and Social Environments: Communities, Classes and Clusters. In: Cheng, X., Li, H., Gabrilovich, E., and Tang, J. (eds.) Proceedings of the Eighth ACM International Conference on Web Search and Data Mining. p. 441--446. ACM, Shanghai, China (2015).
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  • Sîrbu, A., Becker, M., Caminiti, S., De Baets, B., Elen, B., Francis, L., Gravino, P., Hotho, A., Ingarra, S., Loreto, V., Molino, A., Mueller, J., Peters, J., Ricchiuti, F., Saracino, F., Servedio, V.D.P., Stumme, G., Theunis, J., Tria, F., Van den Bossche, J.: Participatory Patterns in an International Air Quality Monitoring Initiative. PLOS ONE. 10, e0136763 (2015).
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  • Zoller, D., Doerfel, S., Jäschke, R., Stumme, G., Hotho, A.: On Publication Usage in a Social Bookmarking System. Proceedings of the 2015 ACM Conference on Web Science. p. 67:1--67:2. ACM, Oxford, United Kingdom (2015).
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  • Kibanov, M., Amin, I., Lee, J.G.: Supporting Peat Fire Management using Social Media, (2015).
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  • Atzmueller, M., Kibanov, M., Hayat, N., Trojahn, M., Kroll, D.: Adaptive Class Association Rule Mining for Human Activity Recognition. In: Atzmueller, M. and Lemmerich, F. (eds.) Proceedings of the International Workshop on Mining Ubiquitous and Social Environments (MUSE2015). , Porto, Portugal (2015).
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  • Macek, B.-E., Atzmueller, M., Stumme, G.: Predicting the Stability of User Interaction Ties in Twitter. Proc. I-KNOW 2014. ACM Press, New York, NY, USA (2014).
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  • Mitzlaff, F., Doerfel, S., Hotho, A., Jäschke, R., Mueller, J.: Summary of the 15th Discovery Challenge: Recommending Given Names. 15th Discovery Challenge of the European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases, ECML PKDD 2013, Prague, Czech Republic - Sctober 27, 2013. Proceedings. p. 7--24. CEUR-WS, Aachen, Germany (2014).
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  • Becker, M., Hotho, A., Mueller, J., Kibanov, M., Atzmueller, M., Stumme, G.: Subjective vs. Objective Data: Bridging the Gap, http://www.gesis.org/en/events/css-wintersymposium/poster-presentation/, (2014).
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  • Scholz, C., Atzmueller, M., Kibanov, M., Stumme, G.: Predictability of Evolving Contacts and Triadic Closure in Human Face-to-Face Proximity Networks. Journal of Social Network Analysis and Mining. 4, (2014).
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  • Scholz, C., Illig, J., Atzmueller, M., Stumme, G.: On the Predictability of Talk Attendance at Academic Conferences (Extended Abstract). Proc. LWA 2014 (KDML Special Track). RTWH Aachen University, Aachen, Germany (2014).
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  • Mitzlaff, F., Atzmueller, M., Stumme, G., Hotho, A.: On the Semantics of User Interaction in Social Media (Extended Abstract). Proc. LWA 2013 (KDML Special Track). University of Bamberg, Bamberg, Germany (2013).
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  • Kibanov, M., Atzmueller, M., Scholz, C., Stumme, G.: Evolution of Contacts and Communities in Networks of Face-to-Face Proximity (Extended Abstract). Proc. LWA 2013 (KDML Special Track). University of Bamberg, Bamberg, Germany (2013).
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  • Scholz, C., Atzmueller, M., Kibanov, M., Stumme, G.: How Do People Link? Analysis of Contact Structures in Human Face-to-Face Proximity Networks. In: Rokne, J.G. and Faloutsos, C. (eds.) Proceedings of the 2013 ACM/IEEE International Conference on Advances in Social Networks Analysis and Mining, ASONAM 2013, Niagara Falls, Canada, August 25-28, 2013. p. 356--363. ACM, New York, NY, USA (2013).
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  • Kibanov, M., Atzmueller, M., Scholz, C., Stumme, G.: On the Evolution of Contacts and Communities in Networks of Face-to-Face Proximity. In: Guerrero, J.E. (ed.) Proceedings of the 2013 IEEE Cyber, Physical and Social Computing, CPSCom 2013, Beijing, China, 20-23 August, 2013. p. 993--1000. IEEE Computer Society, Los Alamitos, CA, USA (2013).
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  • Becker, M., Caminiti, S., Fiorella, D., Francis, L., Gravino, P., Haklay, M. (M.), Hotho, A., Loreto, V., Mueller, J., Ricchiuti, F., Servedio, V.D.P., Sîrbu, A., Tria, F.: Awareness and Learning in Participatory Noise Sensing. PLOS ONE. 8, e81638 (2013).
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  • Atzmueller, M., Bobek, S., Kibanov, M., Nalepa, G.J.: Towards the Ambient Classroom: An Environment for Enhancing Collaborative Educational Processes. In: Roth-Berghofer, T., Oussena, S., and Atzmueller, M. (eds.) Proceedings of the Smart University Workshop, SmartUni 2013 -- International and Interdisciplinary Conference on Modeling and Using Context, Context 2013, Annecy, Haute-Savoie, France, 28 October, 2013 (2013).
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  • Kibanov, M., Erdmann, D.J., Atzmueller, M.: How to Select a Suitable Tool for a Software Development Project: Three Case Studies and the Lessons Learned. In: Wagner, S. and Lichter, H. (eds.) Software Engineering 2013 - Workshopband. Gesellschaft für Informatik (2013).
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  • Atzmueller, M., Becker, M., Doerfel, S., Kibanov, M., Hotho, A., Macek, B.-E., Mitzlaff, F., Mueller, J., Scholz, C., Stumme, G.: Ubicon: Observing Social and Physical Activities. Proceedings of the 2012 IEEE International Conference on Cyber, Physical and Social Computing, CPSCom 2012, Besançon, France, 20-23 November, 2012. pp. 317-324. IEEE Computer Society, Los Alamitos, CA, USA (2012).
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  • Scholz, C., Atzmueller, M., Stumme, G.: Analyzing the Predictability of Human Contacts: On Influence Factors and Stronger Ties (Extended Abstract). Proc. LWA 2012 (KDML Special Track). University of Dortmund, Dortmund, Germany. (2012).
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  • Kibanov, M.: Untersuchung von Versionsverwaltungssystemen mit Zielsetzung der Optimierung der kollaborativen Entwicklung, (2012).
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  • Hotho, A., Stumme, G.: From Semantic Web Mining to Social and Ubiquitous Mining - A Subjective View on Past, Current, and Future Research. In: Fensel, D. (ed.) Foundations for the Web of Information and Services. pp. 143-153. Springer (2011).
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  • Atzmüller, M., Benz, D., Doerfel, S., Hotho, A., Jäschke, R., Macek, B.E., Mitzlaff, F., Scholz, C., Stumme, G.: Enhancing Social Interactions at Conferences. it - Information Technology. 53, 101-107 (2011).
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  • Atzmueller, M., Benz, D., Hotho, A., Stumme, G.: Towards Mining Semantic Maturity in Social Bookmarking Systems. In: Passant, A., Fernández, S., Breslin, J., and Bojārs, U. (eds.) Proceedings of the 4th international workshop on Social Data on the Web (SDoW2011) (2011).
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  • Atzmüller, M., Benz, D., Doerfel, S., Hotho, A., Jäschke, R., Macek, B.E., Mitzlaff, F., Scholz, C., Stumme, G.: Enhancing Social Interactions at Conferences. it - Information Technology. 53, 101--107 (2011).
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  • Mitzlaff, F., Atzmueller, M., Benz, D., Hotho, A., Stumme, G.: Structure and Consistency: Assessment of Social Bookmarking Communities. Proceedings from Sunbelt XXXI. , Trade Winds Beach Resort (2011).
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  • Atzmüller, M., Benz, D., Doerfel, S., Hotho, A., Jäschke, R., Macek, B.-E., Mitzlaff, Folke, C.S., Stumme, G.: Enhancing Social Interactions at Conferences. it - Information Technology, (53)3:101--107, Oldenbourg Wissenschaftsverlag GmbH, May 2011. (2011).
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  • Körner, C., Benz, D., Hotho, A., Strohmaier, M., Stumme, G.: Social Bookmarking Systems: Verbosity Improves Semantics. Proceedings of INSNA Sunbelt XXX. , Riva del Garda Fierecongressi, Trento, Italy (2010).
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  • Benz, D., Hotho, A., Jäschke, R., Stumme, G., Halle, A., Lima-Gerlach, A.S., Steenweg, H., Stefani, S.: Academic Publication Management with PUMA - collect, organize and share publications. Proceedings of the 14. European Conference on Research and Advanced Technology for Digital Libraries. pp. 417-420 (2010).
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  • Benz, D., Hotho, A., Jäschke, R., Stumme, G., Halle, A., Lima-Gerlach, A.S., Steenweg, H., Stefani, S.: Academic Publication Management with PUMA - collect, organize and share publications. Proceedings of the 14. European Conference on Research and Advanced Technology for Digital Libraries. pp. 417-420. (2010).
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  • Mitzlaff, F., Atzmueller, M., Benz, D., Hotho, A., Stumme, G.: Community Assessment using Evidence Networks. Proceedings of the Workshop on Mining Ubiquitous and Social Environments (MUSE2010). , Barcelona, Spain (2010).
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  • Hotho, A., Benz, D., Eisterlehner, F., Jäschke, R., Krause, B., Schmitz, C., Stumme, G.: Publikationsmanagement mit BibSonomy - ein Social-Bookmarking-System für Wissenschaftler. HMD - Praxis der Wirtschaftsinformatik. 271, 47--58 (2010).
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  • Hotho, A., Benz, D., Eisterlehner, F., Jäschke, R., Krause, B., Schmitz, C., Stumme, G.: Publikationsmanagement mit BibSonomy -- ein Social-Bookmarking-System für Wissenschaftler. HMD -- Praxis der Wirtschaftsinformatik. Heft 271, 47-58 (2010).
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  • Benz, D., Hotho, A., Stumme, G.: Semantics made by you and me: Self-emerging ontologies can capture the diversity of shared knowledge. Proceedings of the 2nd Web Science Conference (WebSci10). , Raleigh, NC, USA (2010).
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  • Hotho, A., Stumme, G.: Mining the World Wide Web. Künstliche Intelligenz. 5-8 (2007).
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  • Catutto, C., Schmitz, C., Baldassarri, A., Servedio, V.D.P., Loreto, V., and Andreas Hotho,, Grahl, M., Stumme, G.: Network Properties of Folksonomies. AI Communications Journal, Special Issue on "Network Analysis in Natural Sciences and Engineering". (2007).
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  • Stumme, G., Ehrig, M., Handschuh, S., Hotho, A., Maedche, A., Motik, B., Oberle, D., Schmitz, C., Staab, S., Stojanovic, L., Stojanovic, N., Studer, R., Sure, Y., Volz, R., Zacharias, V.: The Karlsruhe view on ontologies. University of Karlsruhe, Institute AIFB (2003).
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  • Ehrig, M., Handschuh, S., Hotho, A., Maedche, A., Motik, B., Oberle, D., Schmitz, C., Staab, S., Stojanovic, L., Stojanovic, N., Studer, R., Stumme, G., Sure, Y., Tane, J., Volz, R., Zacharias, V.: KAON - Towards a large scale Semantic Web. In: Bauknecht, K., Tjoa, A.M., and Quirchmayr, G. (eds.) Proc. E-Commerce and Web Technologies, Third International Conference, EC-Web 2002. Springer, Aix-en-Provence %, France (2002).
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